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- ArticleSeptember 2024
Text Visual Question Answering Based on Interactive Learning and Relationship Modeling
Artificial Neural Networks and Machine Learning – ICANN 2024Pages 95–109https://doi.org/10.1007/978-3-031-72347-6_7AbstractThe Text Visual Question Answering (TextVQA) task is introduced to understand textual information and answer the question related to textual information in daily life scenarios. In the TextVQA task, the interaction fusion between different ...
Beyond Pairwise Testing: Advancing 3-wise Combinatorial Interaction Testing for Highly Configurable Systems
ISSTA 2024: Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and AnalysisPages 641–653https://doi.org/10.1145/3650212.3680309To meet the rising demand for software customization, highly configurable software systems play key roles in practice. Combinatorial interaction testing (CIT) is recognized as an effective approach for testing such systems. For CIT, the most important ...
- research-articleAugust 2024JUST ACCEPTED
- research-articleAugust 2024
Multi-scale graph clustering network
Information Sciences: an International Journal (ISCI), Volume 678, Issue Chttps://doi.org/10.1016/j.ins.2024.121023AbstractDeep graph clustering, a fundamental yet formidable task in data analysis, aims to partition samples belonging to the same category into their respective clusters. Recently, significant advancements in graph self-supervised learning have been ...
- ArticleAugust 2024
Dynamic-Equalized-Loss Based Learning Framework for Identifying the Behavior of Pair-Trawlers
Advanced Intelligent Computing Technology and ApplicationsPages 337–349https://doi.org/10.1007/978-981-97-5591-2_29AbstractThe pair-trawlers represent a type of fishing behavior with two fishing ships. Pair-trawlers catch marine life over a large area, seriously endangering the marine ecological environment. Therefore, accurately identifying the behavior of the pair-...
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- posterJuly 2024
Kandinsky As You Preferred
SIGGRAPH '24: ACM SIGGRAPH 2024 PostersArticle No.: 15, Pages 1–2https://doi.org/10.1145/3641234.3671061Due to the significant generative capabilities of GenAI (generative artificial intelligence), the art community has actively embraced it to create painterly content. Large text-to-image models can quickly generate aesthetically pleasing outcomes. ...
- research-articleOctober 2024
Research on information sharing and updating method based on multi-source spatial data
AIAHPC '24: Proceedings of the 2024 4th International Conference on Artificial Intelligence, Automation and High Performance ComputingPages 375–379https://doi.org/10.1145/3690931.3690994This article delves into the integration and sharing methods of spatial geographic informatioDue to the characteristics of multi-source, multi-scale, and multi temporal spatial geographic data, and the widespread dispersion, repetitive layout, and ...
- research-articleJuly 2024
Cell Space: Augmented Awareness of Intercorporeality
Proceedings of the ACM on Computer Graphics and Interactive Techniques (PACMCGIT), Volume 7, Issue 4Article No.: 53, Pages 1–10https://doi.org/10.1145/3664213Cell Space is an interactive art experience that integrates collocated augmented reality, neurofeedback, and contact improvisation, challenging the conventional boundaries between audience and performer, and blending the physical with the virtual, ...
- research-articleJuly 2024
Historical information fusion of dense multi-source satellite image time series for flood extent mapping
Highlights- A flood extent mapping (FEM) method using multi-source satellite image time series.
- Extremely fast forward inference speed is obtained via the proposed network.
- Historical information fusion strategy is proposed to refine the FEM ...
Existing lightweight flood extent mapping (FEM) methods, leveraging satellite imagery, offer respite from the burden of extensive data processing. However, these methods often grapple with suboptimal accuracy of the FEM results. To tackle this ...
- research-articleJuly 2024
Failure risk assessment by multi-state dynamic Bayesian network based on interval type-2 fuzzy sets and leaky-weighted sum algorithm: A case study of crude oil pipelines
Expert Systems with Applications: An International Journal (EXWA), Volume 250, Issue Chttps://doi.org/10.1016/j.eswa.2024.123942AbstractFailures of the pipelines can not only result in economic losses, but also potentially lead to serious safety accidents. Therefore, it is important to assess the failure risk of pipelines in order to prevent and mitigate pipeline failure ...
- abstractJuly 2024
Acoustic Garden: Exploring Accessibility and Interactive Music with Distance-related Audio Effect Modulation in XR
SIGGRAPH '24: ACM SIGGRAPH 2024 Immersive PavilionArticle No.: 1, Pages 1–2https://doi.org/10.1145/3641521.3664402In AR/XR design, spatial audio and audio-driven narratives are generally considered as secondary to visual interface and story-telling. Non-visual content production and research for visually impaired users are underrepresented. Similarly, in the field ...
- rapid-communicationJuly 2024
Robust scheduling for minimizing maximum lateness on a serial-batch processing machine
AbstractWe study a robust single-machine scheduling problem with uncertain processing times on a serial-batch processing machine to minimize maximum lateness. The problem can model many practical production and logistics applications which involve ...
Highlights- We study robust scheduling to minimize maximum lateness with uncertain processing times on a serial-batch processing machine.
- Two algorithms are designed to evaluate the maximum lateness when a solution is given.
- We design an ...
- research-articleJuly 2024
AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations
SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information RetrievalPages 1242–1252https://doi.org/10.1145/3626772.3657724Collaborative filtering methods based on graph neural networks (GNNs) have witnessed significant success in recommender systems (RS), capitalizing on their ability to capture collaborative signals within intricate user-item relationships via message-...
- research-articleAugust 2024
Estimation of wheat biomass based on phenological identification and spectral response
- Tao Liu,
- Tianle Yang,
- Shaolong Zhu,
- Nana Mou,
- Weijun Zhang,
- Wei Wu,
- Yuanyuan Zhao,
- Zhaosheng Yao,
- Jianjun Sun,
- Chen Chen,
- Chengming Sun,
- Zujian Zhang
Computers and Electronics in Agriculture (COEA), Volume 222, Issue Chttps://doi.org/10.1016/j.compag.2024.109076Highlights- This study proposes a model capable of identifying the phenological stages of wheat.
- The camera combined with unmanned aerial vehicle are employed for biomass estimation.
- The wheat biomass estimating accuracy is improved by ...
Conventional models for estimating crop biomass are influenced by the wheat fertility process and often result in large errors, limiting the accurate crop biomass monitoring throughout the reproductive period. In this study, we developed a ResNet-...
- research-articleJuly 2024
Unmanned aerial vehicles (UAVs)-based crop lodging susceptibility and seed yield assessment during different growth stages of rapeseed (Brassica napus)
Computers and Electronics in Agriculture (COEA), Volume 221, Issue Chttps://doi.org/10.1016/j.compag.2024.108980Highlights- A UAV-based framework was employed to assess the risk of crop lodging and seed yield.
- A combination of RGB-VIs and MS-VIs with RF was recommended for precise prediction.
- The stem elongation phase is optimum stage for crop lodging ...
Lodging is a great challenge in rapeseed production that significantly affects seed yield and quality. Prediction of lodging susceptibility and seed yield through unmanned aerial vehicles (UAVs)-based framework offers remarkable prospects for ...
- research-articleJuly 2024
A stochastic process representation for time warping functions
Computational Statistics & Data Analysis (CSDA), Volume 194, Issue Chttps://doi.org/10.1016/j.csda.2024.107941AbstractTime warping function provides a mathematical representation to measure phase variability in functional data. Recent studies have developed various approaches to estimate optimal warping between functions. However, a principled, linear, ...
- research-articleJune 2024
Research on Epilepsy Classification Model Based on Variational Mode Quadratic Decomposition
ICMR '24: Proceedings of the 2024 International Conference on Multimedia RetrievalPages 906–914https://doi.org/10.1145/3652583.3658023Epilepsy, a widespread neurological disorder, creates substantial physical and psychological challenges for patients. Accurate seizure prediction allows for prompt symptom intervention and treatment guidance. To achieve this goal, we introduce a ...
- research-articleAugust 2024
Structure design and performance simulation analysis of underwater robot based on biological mechanism of boxfish
ISCER '24: Proceedings of the 2024 3rd International Symposium on Control Engineering and RoboticsPages 426–431https://doi.org/10.1145/3679409.3679488With marine biodiversity threatened by human activities, it is particularly important to protect and study marine species, of which boxfish is one of the focuses of research. In this study, the propulsion mechanism and structural characteristics of ...
- research-articleJuly 2024
Iterative learning control of an Euler-Bernoulli beam with time-varying boundary disturbance
Computers & Mathematics with Applications (CMAP), Volume 162, Issue CPages 145–154https://doi.org/10.1016/j.camwa.2024.03.004AbstractThis paper investigates the stabilization of Euler-Bernoulli beam systems modeled by a partial differential equation (PDE) with unknown time-varying disturbance. An iterative learning controller is designed using only boundary state feedback to ...
- demonstrationMay 2024
Maelstrom: Spatial Instrument and Decision Making Tool Based on Pattern Progression
CHI EA '24: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing SystemsArticle No.: 408, Pages 1–5https://doi.org/10.1145/3613905.3648645Maelstrom is a spatial instrument that combines projection with interactive spatial audio, performed by the audience in the experience area. It is an installation that focuses on visual and acoustic pattern recognition, serving as a tool for individuals ...